import json
import logging
import os
from typing import List, Optional, Tuple

from openai import OpenAI

import db

LOGGER = logging.getLogger(__name__)
PERSONALITY_MODEL = "gpt-4-turbo"
_CLIENT: Optional[OpenAI] = None


def _get_client() -> OpenAI:
    global _CLIENT
    if _CLIENT is None:
        api_key = os.getenv("OPENAI_API_KEY")
        if not api_key:
            raise RuntimeError("OPENAI_API_KEY is not set. Please configure the environment.")
        _CLIENT = OpenAI(api_key=api_key)
    return _CLIENT


def _format_conversation_log(conversation_log: List[str]) -> str:
    lines = []
    for idx, entry in enumerate(conversation_log, start=1):
        lines.append(f"{idx}. {entry.strip()}")
    return "\n".join(lines)


def _build_personality_prompt(conversation_log: List[str]) -> str:
    formatted_log = _format_conversation_log(conversation_log)
    return (
        "Analyze the following conversation snippets to characterize the user. "
        "Focus on their tone, conversational behavior, interests, and emotional patterns. "
        "Respond with compact JSON containing the keys 'personality_summary' and 'preferences'.\n\n"
        f"Conversation snippets:\n{formatted_log}"
    )


def _parse_personality_response(content: str) -> Tuple[str, Optional[str]]:
    try:
        payload = json.loads(content)
        summary = payload.get("personality_summary", "").strip()
        preferences = payload.get("preferences")
        if isinstance(preferences, str):
            preferences = preferences.strip()
        elif preferences is not None:
            preferences = json.dumps(preferences, ensure_ascii=False)
        return summary, preferences
    except json.JSONDecodeError:
        return content.strip(), None


def update_user_personality(user_id: str, conversation_log: List[str]) -> Optional[str]:
    """Analyze recent conversations and persist an updated personality profile."""
    if not conversation_log:
        LOGGER.debug("No conversation log provided for user %s; skipping personality update.", user_id)
        return None

    prompt = _build_personality_prompt(conversation_log)

    try:
        client = _get_client()
    except RuntimeError:
        LOGGER.exception("Cannot update personality without OPENAI_API_KEY")
        return None

    try:
        response = client.chat.completions.create(
            model=PERSONALITY_MODEL,
            messages=[
                {
                    "role": "system",
                    "content": (
                        "You are a mirror of the user that distills enduring personality insights from user conversations. "
                        "Provide grounded, respectful observations without speculation. Act as a behavioral buffer: when you "
                        "sense unproductive or negative patterns, offer gentle reframes, actionable nudges, and reflective "
                        "questions that support autonomy. Reinforce any progress—no matter how small—while staying humble and "
                        "non-judgmental. Monitor the user's emotional tone and engagement, tailoring the intensity of nudges "
                        "to their receptivity so they never feel overwhelmed. Prioritize encouragement and autonomy, avoid "
                        "manipulation, and regularly recalibrate guidance to prevent reinforcing negative patterns or "
                        "overstepping boundaries."
                    ),
                },
                {"role": "user", "content": prompt},
            ],
            temperature=0.6,
        )
    except Exception as exc:  # pragma: no cover
        LOGGER.exception("OpenAI personality update failed for user %s: %s", user_id, exc)
        return None

    try:
        content = response.choices[0].message.content.strip()
    except (AttributeError, IndexError):  # pragma: no cover
        LOGGER.error("Malformed OpenAI response when updating personality for user %s", user_id)
        return None

    summary, preferences = _parse_personality_response(content)
    if not summary:
        LOGGER.warning("Received empty personality summary for user %s", user_id)
        return None

    try:
        db.update_user_personality(user_id, summary, preferences=preferences)
    except Exception as exc:  # pragma: no cover
        LOGGER.exception("Failed to persist personality summary for user %s: %s", user_id, exc)
        return None

    LOGGER.info("Updated personality profile for user %s", user_id)
    return summary